1 to 25 of 359 Permanent Databricks Jobs in England

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

viable and technically sound solutions. Enterprise Solution Design Architect and oversee the delivery of scalable data platforms (data lakes, lakehouses, warehouses) using GCP technologies such as BigQuery, Cloud Storage, Databricks, and Snowflake. Cloud Data Strategy Lead cloud migration and modernisation strategies using GCP and tools like Terraform, CI/CD pipelines, Azure DevOps, and GitHub. Data Modelling Apply hands-on More ❯

GenAI and a strong understanding of its potential impact on business and technology. Experience in regulated industries such as insurance or financial services. Experience with tools such as LangChain, Databricks, LLMOps, and Kubernetes. Behaviours: Team player Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude Passion to innovate and improve processes Personality More ❯

GenAI and a strong understanding of its potential impact on business and technology. Experience in regulated industries such as insurance or financial services. Experience with tools such as LangChain, Databricks, LLMOps, and Kubernetes. Behaviours: Team player Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude Passion to innovate and improve processes Personality More ❯

development of data products. Desirable experience would be to have: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us Were one of More ❯

development of data products. Desirable experience would be to have: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us Were one of More ❯

development of data products. Desirable experience would be to have: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us We're one More ❯

development of data products. Desirable experience would be to have: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us We're one More ❯

development of data products. Desirable experience would be to have: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us We're one More ❯

development of data products. Desirable experience would be to have: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us We're one More ❯

modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform More ❯

engineering teams to resolve them. Strong analytical mindset and attention to detail. Clear, concise communicator able to present technical findings simply. Desirable: Experience testing in big data environments using Databricks, Snowflake, or Redshift. Knowledge of data governance and lineage tracking tools. Exposure to data performance and load testing. Experience in an Agile delivery environment. More ❯

skills in Java, Scala, or Python. Proficiency in SQL (including extensions for analytical workloads). Deep knowledge of distributed data stores, frameworks, and ETL/ELT platforms (e.g. Azure Databricks, Informatica). Experience applying design standards, coding best practices, and operational readiness (automation, deployment). Ability to clearly communicate technical concepts both verbally and in writing. Experience designing both analytical More ❯

modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform More ❯

Automation Scripting Languages (Python, Powershell) Reporting tools (Power BI, SSRS or Tableau) Microsoft Fabric/Data Engineer - Modern Data Architecttures e.g lakehouse, data mesh ETL/ELT Tools (dbt, Databricks) Source Control (GitHub, Tortoise SVN) Batch Scheduling (Control-M, Autosys) CI/CD Education/Qualifications: Degree educated and/or equivalent experience.Personal Requirements: Excellent communication skills Results driven, with More ❯

Senior Databricks Engineer (flexible location) Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Engineer to join our team. You will join us on a full time, permanent basisand in return, you will receive a competitive salary of £60,000 - £70,000 per annum. About the role: As our Senior Databricks Engineer, you will operate within … coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Engineer will include: Understand the business/product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives into … databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Engineer: Significant years of Databricks experience, including Unity Catalog Terraform, defining, deploying, and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with More ❯

Tech Stack & Environment AWS ecosystem: Redshift, S3, Glue, Lambda, Step Functions, CloudFormation Core tools: Python, SQL, DBT, Terraform, GitHub, CI/CD Data warehousing: 600TB+ environment with expansion into Databricks BI & analytics: Power BI, Tableau, and AI platforms 100% cloud-centric and 100% Microsoft-integrated environment What's in It for You £65,000-£70,000 base salary More ❯

Strong business-to-technology translation skills for identifying ways to apply solutions to help customers improve performance Strong verbal and written communication Azure Data Factory/Data Lakes/Databricks SQL server experience (SSIS, SSMS) Experience with Data Warehouse solutions Desirable but not essential Python is also desirable Understanding of Azure DevOps Pipelines would be advantageous Data Engineer Certification such More ❯

and NLP models within production environments effectively. Required Skills 8+ years of software engineering experience, partially focused on LLM/AI/ML solutions. Experience with Python notebooks in Databricks (or similar tech stack) is essential. Robust hands-on experience with LLM SaaS providers (OpenAI, Claude, Gemini). Demonstrated expertise and managed services within cloud architecture (primarily AWS). Proficiency More ❯

Skilled in team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises More ❯

Skilled in team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises More ❯